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Information fusion for future COVID-19 prevention : continuous mechanism of big data intelligent innovation for the emergency management of a public epidemic outbreak

Yin, Shi; Zhang, Nan; Xu, Junfeng - In: Journal of management analytics 8 (2021) 3, pp. 391-423

Persistent link: https://www.econbiz.de/10012622579

Big data and smart aviation information management system

Dou, Xiangsheng - In: Cogent business & management 7 (2020) 1, pp. 1-14

Aviation industry is facing two major challenges of safety and performance improvement. They will be expected to be resolved in the context of big data. This paper focuses on the impact of big data on aviation industry and the construction of aviation big data platform and its information...

Persistent link: https://www.econbiz.de/10012627455

Artificial intelligence for cluster analysis : case study of transport companies in Czech Republic

Kalinová, Eva - In: Journal of risk and financial management : JRFM 14 (2021) 9, pp. 1-36

What is the situation of the transport sector in the Czech Republic and what is its importance for the economy of the Czech Republic? How and to what extent do businesses operating in this sector influence the sector as such, and how many businesses in this sector have such influence?...

Persistent link: https://www.econbiz.de/10012628268

All happy families are alike : the EDPS' bridges between competition and privacy

Vezzoso, Simonetta - In: Market and competition law review 4 (2020) 1, pp. 41-67

Persistent link: https://www.econbiz.de/10012629559

Innovation outcomes of digitally enabled collaborative problemistic search capability

Karhade, Prasanna P.; Dong, John Qi - In: MIS quarterly 45 (2021) 2, pp. 693-718

Persistent link: https://www.econbiz.de/10012631377

Smart logistics based on the internet of things technology : an overview

Ding, Yangke; Jin, Mingzhou; Li, Sen; Feng, Dingzhong - In: International journal of logistics : research and … 24 (2021) 4, pp. 323-345

Persistent link: https://www.econbiz.de/10012608894

Small steps with big data : using machine learning in energy and environmental economics

Harding, Matthew C.; Lamarche, Carlos - In: Annual review of resource economics 13 (2021) 1, pp. 469-488

Persistent link: https://www.econbiz.de/10012612448

The power of text-based indicators in forecasting the Italian economic activity

Aprigliano, Valentina; Emiliozzi, Simone; Guaitoli, Gabriele - 2021

Persistent link: https://www.econbiz.de/10012612865

What makes a successful scientist in a central bank? : evidence from the RePEc database

Rybacki, Jakub; Serwa, Dobromił - In: Central European journal of economic modelling and … 13 (2021) 3, pp. 331-357

Persistent link: https://www.econbiz.de/10012620007

Option return predictability with machine learning and big data

Bali, Turan G.; Beckmeyer, Heiner; Mörke, Mathis; … - 2021 - This version: August 20, 2021

Drawing upon more than 12 million observations over the period from 1996 to 2020, we find that allowing for nonlinearities significantly increases the out-of-sample performance of option and stock characteristics in predicting future option returns. Besides statistical significance, the...

Persistent link: https://www.econbiz.de/10012620725